zjjxzdg's repositories

blog

腾讯·CloudBase团队博客

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age-gender-estimation

Keras implementation of a CNN network for estimating age and gender

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AliOS-Things

AliOS Things released by Alibaba is an open-source implementation of operating system (OS) for Internet of Things (IoT).

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all-podcasts-dataset

A free dataset of (almost) all publicly available podcasts.

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amplify

A Jekyll html theme in the vague style of Medium.com built using Google AMP

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deep-voice-conversion

Deep neural networks for voice conversion (voice style transfer) in Tensorflow

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displacy

:boom: displaCy.js: An open-source NLP visualiser for the modern web

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dlib

A toolkit for making real world machine learning and data analysis applications in C++

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face_recognition

The world's simplest facial recognition api for Python and the command line

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face_recognition_models

Trained models for the face_recognition python library

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facial-expression-recognition

Facial expression recognition deep learning examples

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flask

A microframework based on Werkzeug, Jinja2 and good intentions

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hololens_facial_recognition

A Unity hololens app to detect faces and display their attributes

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makerbean

makerbean

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MMM-Facial-Recognition

This an extension for the MagicMirror. It provides facial recognition and module swapping based on the current user.

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myAR

It's my first AR project.

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node-pullquoter

Automatically pull interesting quotes out of an article.

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node-unfluff

Automatically extract body content (and other cool stuff) from an html document

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opencv

Open Source Computer Vision Library

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pyFacialRecognition

A facial recognition program

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pyflight

A Python Wrapper around Google's QPX Express API that supports both asynchronous and synchronous operation.

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show-facebook-computer-vision-tags

A very simple Chrome Extension that displays the automated image tags that Facebook has generated for your images

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tfjs-examples

Examples built with TensorFlow.js

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titanic_machine_learning_example

A simple example of how to solve Kaggle's "Titanic: Machine Learning from Disaster" challenge using Python and scikit-learn

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